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典型文献
Lanchester equation for cognitive domain using hesitant fuzzy linguistic terms sets
文献摘要:
Intelligent wars can take place not only in the physical domain and information domain but also in the cognitive domain. The cognitive domain will become the key domain to win in the future intelligent war. A Lanchester equation considering cognitive domain is proposed to fit the development tendency intelligent wars in this paper. One party is considered to obtain the expo-nential enhancement advantage on combat forces in combat if it can gain an advantage in the cognitive domain over the other party according to the systemic advantage function. The opera-tional effectiveness of the cognitive domain in war is considered to consist of a series of indicators. Hesitant fuzzy sets and linguistic term sets are powerful tools when evaluating indicators, hence the indicators are scored by experts using hesitant fuzzy linguistic terms sets here. A unique hesitant fuzzy hybrid arithmetical aver-aging operator is used to aggregate the evaluation.
文献关键词:
作者姓名:
HAN Qi;LI Weimin;XU Qiling;ZHAO Minrui;HUO Runze;ZHANG Tao
作者机构:
Air Defense and Antimissile School, Air Force Engineering University, Xi'an 710051, China;School of Humanities,Economics and Law , Northwestern Polytechnical University, Xi'an 710051, China
引用格式:
[1]HAN Qi;LI Weimin;XU Qiling;ZHAO Minrui;HUO Runze;ZHANG Tao-.Lanchester equation for cognitive domain using hesitant fuzzy linguistic terms sets)[J].系统工程与电子技术(英文版),2022(03):674-682
A类:
Hesitant,arithmetical
B类:
Lanchester,equation,cognitive,domain,using,hesitant,fuzzy,linguistic,terms,sets,Intelligent,wars,can,take,place,not,only,physical,information,but,also,will,become,key,win,future,intelligent,considering,proposed,fit,development,tendency,this,paper,One,party,considered,obtain,expo,nential,enhancement,advantage,combat,forces,if,gain,over,other,according,systemic,function,tional,effectiveness,consist,series,indicators,are,powerful,tools,when,evaluating,hence,scored,by,experts,here,unique,hybrid,aver,aging,operator,used,aggregate,evaluation
AB值:
0.518029
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